Machine Learning is a science that enables machines (especially computers) to learn from environments and make own decisions.

Research Activities

  • The Machine Learning Laboratory (MLL) carries out research and develops different theoretical foundations for machine learning such as:
  • Reinforcement Learning, Deep Learning, Statistical Learning Theory, Multi-agent Systems, Game Theory and Mechanism Design, Blockchains, Explainable and Fair AI
  • How machines and multi-agent systems should help in planning activities by learning from environments
  • How learning gets affected if different machine learning and multi-agent systems algorithms are trying compete instead of cooperating
  • How machines should learn in the presence of noisy environment or partial supervision
  • Role of deep learning in planning, reinforcement learning, AI in game theory, blockchains and its applications
  • For more details: Research Projects

Recent News

  • One of our papers titled “Differentially Private Federated Combinatorial Bandits with Constraints” got accepted in ECML-PKDD 2022
  • Our paper titled “An Autonomous Intelligent Broker for Smart-grids” got accepted in IJCAI, 2022
  • Our paper on “Individual Fairness in Feature-Based Pricing for Monopoly Markets” got accepted in UAI 2022
  • One of our papers titled “Active Learning with BandIt Feedback” got accepted in PAKDD 2022
  • One of our papers on Layered Blockchain protocols got accepted in IEEE ICBC 2022.
  •  Three of our papers get accepted in AAMAS 2022
  • Our paper, ‘How Private Is Your RL Policy? An Inverse RL Based Analysis Framework’ got accepted for presentation at AAAI 2022
  • MLL’s Team in collaboration with TCS, VidyutVanika wins the PowerTAC 2021 Tournament
  • One of our paper got accepted for presentation at Young Researcher’s Symposium, CODS-COMAD 2022

Contact Us

Machine Learning Laboratory,
Kohli Research Block,
International Institute of Information Technology, Hyderabad
Gachibowli, Hyderabad 500032